Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
NuMedii, Inc. is a venture-backed biomedical startup located in the San Francisco Bay Area that is translating life-sciences big data into effective new drugs. We seek a Biomedical Software Engineer to join our team to continue to build our underling computational technology. You will work closely with NuMedii staff with diverse expertise in addition to a group of bioinformatics experts who developed the core technology at Stanford University. This is an exciting opportunity to become an early employee of a unique company led by world-renowned computational and therapeutic subject matter experts. This position demands an individual who can effectively solve the challenging design and engineering problems in the utilization of big data towards the identification of new uses of existing drugs.
At NuMedii, we develop and apply innovative computational approaches that leverage a wealth of available data to predict the potential application of existing drugs in a variety of human diseases. This exciting role will be a perfect match if you are committed to stretching your skills in the many challenging aspects of the analysis, query and presentation of very large data sets including but not limited to databases, UXD, cloud computing and web development. This is a fantastic opportunity to join the cross-functional team of scientists and computational biologists that is bringing along a revolution in the understanding of the molecular underpinnings of human disease and aligning this to enable the development and testing of new drug indication hypotheses.
Key responsibilities for the Biomedical Software Engineer:
• Design, implement, and document NuMedii's computing infrastructure, including servers, web applications, and data-acquisition and processing pipelines.
• Operate this infrastructure, either directly, by automating processes, or by training and managing outsourced resources.
• Interface with the NuMedii biology and bioinformatics team to rapidly develop and deploy analysis and decision-support tools for drug repurposing.
Key requirements for this role would be:
• An individual with proven ability to develop information systems through entire SDLC: design, development, testing and installation of software solutions
• Proven experience with programming languages commonly used in bioinformatics (e.g. Python, Ruby, Perl, C++, Java).
• Experience with popular programming and visualization frameworks and bioinformatics libraries (e.g., BioPython, Bioconductor, Ruby on Rails, d3.js, node.js)
• Experience with software programming management and lifecycle tools (e.g., Trac, Git/Github, unit testing frameworks)
• Experience with relational (e.g., MySQL) and non-relational (e.g., MongoDB, HBase) databases.
• Experience with HPC, distributed computing and large datasets (Big Data)
• Linux expertise and administration (AWS experience is a plus).
• Strong preference will be given to individuals who have demonstrated the ability to utilize statistics and statistical programming languages, such as R, as well as machine learning and knowledge mining technologies, such as Weka.
• Excellent written and oral presentation skills
• Effective communication with cross functional scientific teams
• A preference will be given to individuals with a background in healthcare and/or biomedical research with a comprehensive appreciation of the human genome
• A solid degree in Computer Science of related discipline
• Project team management expertise.
• A collaborative and self-motivated individual
Qualified candidates are strong software engineers who are looking for a role that will challenge their analytical and problem solving skills in the rapidly emerging industry of big data and drug repositioning. Please send your resume and a brief cover letter to firstname.lastname@example.org. We offer a very competitive salary. NuMedii values diversity and is an equal opportunity employer. Women and minority candidates are strongly encouraged to apply.
NuMedii, Inc. is a venture-backed biomedical startup located in the San Francisco Bay Area that is translating life-sciences big data into effective new drugs.